Now showing items 1-18 of 18

    • Pivoting in Software Startups 

      Bajwa, Sohaib Shahid (Free University of Bozen-Bolzano, 2017)
      Context: Software startups are able to produce cutting-edge products significantly contributing to the world economy. However, lack of resources, high reactiveness, and uncertain conditions are some of the road blocks on ...
    • Lean internal startups: empowering software product innovation in large companies 

      Edison, Henry (Free University of Bozen-Bolzano, 2017)
      Context: Developing product innovation is a risky activity, but when successful, it enables established and large companies to create new market and entry barriers, to challenge market leaders, to accrue high products and ...
    • Managing and Consuming Completeness Information for RDF Data Sources 

      Darari, Fariz (Free University of Bozen-Bolzano, 2017)
      The ever increasing amount of Semantic Web data gives rise to the question: How complete is the data? Though generally data on the Semantic Web is incomplete, many parts of data are indeed complete, such as the children ...
    • Lean internal startups: empowering software product innovation in large companies 

      Edison, Henry (Free University of Bozen-Bolzano, 2017)
      Context: Developing product innovation is a risky activity, but when successful, it enables established and large companies to create new market and entry barriers, to challenge market leaders, to accrue high products and ...
    • Reasoning and Query Answering with Complete Data and Ontologies 

      Ngo, Thi Phuong Nhung (Free University of Bozen-Bolzano, 2017)
      Combining relational databases and ontologies is necessary for modern query answering systems. To deal with the problem, the ontology-based data access approach uses ontologies to capture databases, i.e. databases are ...
    • Ontology-Mediated Query Answering with Lightweight Temporal Description Logics 

      Kovtunova A (Free University of Bozen-Bolzano, 2017)
      The main topic of this doctoral dissertation is to extend the ontology-mediated query rewriting paradigm to the case where the ontology, the query and the data are temporally characterised. We follow an approach of the ...
    • Context-Based Integrated Development Environment Command Recommendations 

      Gašparič, Marko (Free University of Bozen-Bolzano, 2018)
      Software developer’s working process could benefit from the support of a recommender system that is able to suggest applicable and useful integrated development environment commands. While previous work focused on prediction ...
    • Benchmarking and Optimization of OBDA Systems 

      Lanti, Davide (Free University of Bozen-Bolzano, 2018)
      In this thesis we address the two distinct but interleaved problems of benchmarking and optimization of ontology-based data access (OBDA) systems. OBDA is an approach to cope with the emerging need of providing an ...
    • Reliable Multidimensional Data Summaries Using Histograms 

      Shekelyan, Michael (Free University of Bozen-Bolzano, 2018)
      The main focus of this thesis is the data summary problem, where one takes a large set of multidimensional data points in the Euclidean space, creates a data summary that is much smaller and then uses only the summary to ...
    • Pairwise Preferences Based Recommendation Techniques 

      Kalloori, Saikishore (Free University of Bozen-Bolzano, 2018)
      Recommender Systems (RSs) are software tools and techniques which learn user's interest and recommend items that he/she will find most useful among the available ones. Most of the present research and application of ...
    • Modeling, Enactment and Verification of Data-Aware Processes 

      Rivkin, Andrey (Free University of Bozen-Bolzano, 2019)
      During the last two decades, increasing attention has been given to the challenging problem of resolving the dichotomy between business process management and master data management. A substantial number of foundational ...
    • Heterogeneous User Actions in Recommender Systems 

      Gurbanov, Tural (Free University of Bozen-Bolzano, 2019)
      Recommender Systems (RSs) are software tools and techniques providing to users suggestions for items, such as what movies to watch, what music to listen to, or what items to buy. These suggestions are usually personalized, ...
    • Tangibles for Supporting Children's Conversations 

      Rizvi, Mehdi (Free University of Bozen-Bolzano, 2019)
      This PhD thesis focuses on conversations in primary school classrooms and how to scaffold positive social norms for such conversations, such as turn-sharing and not overlapping in talking. Mastering these social norms is ...
    • Supporting Group Discussions with Recommendation Techniques 

      Nguyen, Thuy Ngoc (Free University of Bozen-Bolzano, 2019)
      Group recommender systems (GRSs) have been developed to support group decision mak-ing processes with recommendations expected to satisfy a group of people, not just a single person. Most of the previous research has assumed ...
    • New techniques for graph edit distance computation 

      Blumenthal, David Benjamin (Free University of Bozen-Bolzano, 2019)
      Due to their capacity to encode rich structural information, labeled graphs are often used for modeling various kinds of objects such as images, molecules, and chemical compounds. If pattern recognition problems such as ...
    • Ratings in Recommender Systems: Decision Biases and Explainability 

      Coba, Ludovik (Free University of Bozen-Bolzano, 2020)
      Recommender systems are an application of artificial intelligence techniques where typically past behaviour of users is used to make predictions about their interests and to support them in identifying items they presumably ...
    • Monitoring, Detecting, Identifying, and Healing Anomalous Workload in Clustered Computing Environments 

      Elgazazz, Areeg (Free University of Bozen-Bolzano, 2020)
      Context and Motivations. Container-based architecture is emerging as a new approach for building distributed applications as a collection of independent services that work together. As a result, applications are able to ...
    • Temporal Aggregation for Data Analytics 

      Mahlknecht, Giovanni (Free University of Bozen-Bolzano, 2020)
      Data analytics is a key technology that enables modern enterprises across different sectors to analyze key performance indicators and to gain competitive advantage. In many cases the data that needs to be processed has a ...